Characterizing interactions between cardiac shape and deformation by non-linear manifold learning.
Maxime Di FolcoPamela MoceriPatrick ClarysseNicolas DuchateauPublished in: Medical Image Anal. (2022)
Keyphrases
- manifold learning
- geodesic distance
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- dimension reduction
- semi supervised
- diffusion maps
- subspace learning
- high dimensional data
- shape analysis
- high dimensional
- object shape
- feature extraction
- manifold structure
- shape variations
- sparse representation
- laplacian eigenmaps
- shape model
- head pose estimation
- low dimensional manifolds
- neural network
- shape representation
- image registration
- locally linear embedding
- pairwise
- pattern recognition
- manifold embedding